How AI could transform Indonesia's election oversight

The future of election oversight in Indonesia will depend on the ability to combine machine intelligence with human judgment.

Jakarta (ANTARA) - Amid rapid technological advances, artificial intelligence (AI) is playing an increasingly prominent role across various sectors, including election oversight.

Once primarily used to improve workplace efficiency, the technology now offers much greater potential to help detect suspected violations, identify patterns of information manipulation, and provide early warnings of risks to democratic integrity.

This presents Indonesia with an opportunity to develop an election oversight system that is more responsive, accurate, and transparent.

In general elections involving millions of voters, thousands of polling station officers, and rapidly evolving digital information, manually verifying all incoming data is becoming increasingly challenging.

AI offers a new approach to election oversight, shifting the focus from relying solely on incoming reports and post-election reviews toward using data analytics to identify potential problems at an early stage.

Deputy for Technical Support at the Election Supervisory Agency (Bawaslu), Yusti Erlina, explained that AI could help transform oversight from a system focused on administrative reporting into one driven by data analysis and early warning mechanisms.

The technology can help identify unusual data patterns and flag suspected violations for further investigation.

However, one fundamental principle must not be overlooked: algorithmic anomalies do not constitute proof of a violation. Every suspected violation must be verified by human inspectors based on evidence, context, and applicable legal provisions.

This ensures that AI remains a decision-support tool rather than a substitute for human judgment and institutional authority.

Although algorithms can identify relationships and patterns across large volumes of data, determining whether a violation has occurred remains the responsibility of authorized institutions operating under established legal procedures.

Bawaslu has outlined three key functions of AI in election oversight: guardian, assistant, and reminder.

As a guardian, AI can help identify suspected document manipulation, synthetic content such as deepfakes, and coordinated information distribution patterns that warrant further investigation. This capability is increasingly important as images, audio, and videos become easier to manipulate, making it more difficult for the public to distinguish authentic information from altered content.

As an assistant, AI can categorize public reports, summarize information, and help prioritize investigations based on available data. This enables election supervisors to allocate their time and resources more effectively.

Meanwhile, as a reminder, AI must generate analyses that are traceable, verifiable, and accountable. Election officials remain responsible for examining evidence, understanding the surrounding context, and ensuring that decisions comply with applicable laws and procedures.

Together, these three functions illustrate a significant shift in the election oversight paradigm. AI is no longer viewed merely as a tool for speeding up administrative work but also as a means of improving accuracy, consistency, and the ability to anticipate potential problems.

Preliminary indicators

AI systems can be designed to identify unusual similarities between documents, detect duplicate reports, and recognize digital content being distributed through potentially coordinated networks.

Rather than automatically establishing that a violation has occurred, these findings serve as preliminary indicators requiring further examination.

For these benefits to materialize, data quality remains essential. AI systems operating on incomplete, inaccurate, or biased information risk producing misleading conclusions. Therefore, transforming election oversight through AI must begin with improvements in data governance.

Currently, Bawaslu relies on several digital tools. Its prevention reporting form is accessible through a web-based system designed to support internal operations.

For instance, the Siwaslu system is used during general elections, while Siwaslih supports oversight during regional elections. The existence of separate applications highlights the need for greater integration to prevent election oversight data from becoming fragmented across independent systems.

The Integrated Oversight Single Data initiative provides a foundation for more systematic AI deployment. Integrating these systems would allow information to be consolidated, cross-checked for consistency, and analyzed using unified standards.

The proposed Participatory Oversight SuperApp also offers the potential to establish a unified platform for handling violation reports, voter education, and final voter list verification. Within an integrated framework, public reports could be categorized according to location, time, and type of issue.

AI could then help identify emerging patterns requiring the attention of election supervisors, while preserving the public's right to a fair review process.

Blockchain technology is also being explored as part of these efforts. Under a hybrid approach, data processing and storage could take place off-chain to maintain operational efficiency, including for vote tallying at polling stations.

Meanwhile, on-chain mechanisms could be tested to record data audit trails, making changes to information easier to trace and inspect. Although blockchain cannot guarantee the accuracy of data at the point of entry, it can significantly improve traceability when properly designed and implemented.

Future outlook

Discussions on the direction of this transformation took place during a recent strategic meeting involving Yusti, Grace Sabandar, President and CEO of Ambassador Club; Tuhu Nugraha Dewanto, President and CEO of IADE-RN; Agus Canny, President and CEO of the Indonesia Blockchain & Metaverse Center (IBMC) and Dean at President University; and AntaPutu Rahman Desyanta, President and CEO of Baliola Blockchain Indonesia. The discussion was supported by Project On.

The cross-disciplinary meeting underscored the importance of collaboration among election oversight institutions, academics, researchers, and technology communities in designing systems that meet Indonesia's democratic needs.

Bawaslu is exploring potential partnerships through several proposed initiatives, including the Bawaslu Tech Fellowship and an Election Regulatory Sandbox.

A limited testing framework would provide an opportunity to evaluate technological accuracy, information security, personal data protection, and regulatory compliance before wider implementation.

During the discussion, IADE-RN contributed perspectives on digital governance and trust.

Baliola, together with IBMC, explored a blockchain-based concept for recording data audit trails. Mandala On-Chain offers opportunities to engage digital communities and the diaspora, while the National Research and Innovation Agency (BRIN) focuses on research to ensure that AI testing is accurate, secure, and accountable.

Another important consideration is human resource readiness. An initiative to provide digital literacy training to approximately 800,000 election supervisors highlights the need to align technological literacy with a strong understanding of election regulations.

Moving forward, election supervisors will need to do more than understand legal procedures. They must also be equipped to interpret algorithmic analyses, identify system errors, verify digital information, and protect public data.

Capacity-building initiatives must be accompanied by transparency, human oversight, and mechanisms for appealing administrative decisions. The adoption of AI must also guard against discrimination arising from data bias to ensure equal treatment for all citizens.

Ultimately, adopting AI in election oversight is not about racing to implement the most advanced technology. The objective is to make democratic processes more transparent, audits more accurate, and public rights better protected.

Servers can store millions of data points. Algorithms can identify patterns in seconds. Blockchain can help record changes to information.

However, public trust will grow only when these technologies are deployed with integrity, accountability, and respect for the law.

The future of election oversight in Indonesia will depend on the ability to combine machine intelligence with human judgment.

AI can enable faster and broader monitoring, while human judgment and the law ensure that every finding is handled fairly. Striking this balance is essential to making public trust a cornerstone of Indonesian democracy.

Related news: Rupiah strengthens on US midterm election results

Related news: IHSG strengthens as US midterm election results shape global outlook

Related news: Culture Ministry supports development of KPU Election Journey Museum